Engineering Manager in DataTech

Spd-Technology; España; Presencial; EUR 90.000 - 130.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Fully remote

Flexible schedule

Descripción de la vacante

SPD Technology is seeking an Engineering Manager for its DataTech teams. You will own delivery, drive velocity and ensure high-quality software across data ingestion and processing platforms.

You will lead engineers and SDE Leads, grow talent, and improve planning, execution, and predictability while collaborating with Product, Data, and Architecture teams. Fully remote role with international collaboration.

Formación

• Proven engineering leadership experience managing multiple software/data teams.
• Strong delivery planning, prioritization and execution capabilities.
• Ability to use delivery data and visualization to drive improvements.
• Excellent written and verbal communication with stakeholders.

Responsabilidades

• Own delivery and engineering outcomes for DataTech teams.
• Ensure strong SDLC execution and technical quality.
• Plan and manage capacity and allocate personnel to priorities.
• Lead and grow engineers and SDE Leads through coaching and development.
• Strengthen ways of working and cross-team collaboration.

Conocimientos

Engineering leadership

Delivery excellence

People management

GenAI adoption

Stakeholder collaboration

Herramientas

Java 21

Kubernetes

Spring Boot

OpenAPI

PostgreSQL

Kafka

Redis

Descripción del empleo

About Us

At SPD Technology, we bring together a team of like-minded people who are driven by the desire to bring value through their work, united in their commitment to high performance and delivering custom, cutting-edge tech solutions that drive clients’ growth. We empower our people with a culture of excellence and enable them with the opportunity to uphold their accountability to contribute on each level. We value humanity and collaboration, encourage professional and personal growth, and foster a supportive and flexible work environment where everyone’s contribution is welcomed.

And now we are looking for an Engineering Managerto join us as part of our team.

About the role

PitchBook — a platform for investment professionals. Our software provides access to data and the analytical tools to get answers fast and discover promising opportunities. Uncovers actionable insights and trends hidden within the financial data of millions of companies. Users all over the world include large corporations, start-ups, venture capital and private equity firms, investment banks, and many others.

Data Collection Technology is a core technology domain responsible for ingesting, processing, managing, and publishing data to the main platform. It combines a suite of battle-proven legacy data collection tools with a modern data collection platform.
The broader data management platform provides a unified environment for managing and validating data across both private and public markets. It brings together multiple tools and workflows, standardizes quality-assurance processes, and enables scalable automation for data operations.

As an Engineering Manager in PitchBook’s DataTech team, you will be responsible for ensuring your teams execute well and deliver the outcomes they commit to. Your primary focus will be strengthening delivery capabilities and helping teams improve planning, execution and predictability.

You will also ensure effective platform-wide operational processes, including customer support and incident management. People management and team development remain important responsibilities, with successful and sustainable delivery as the primary focus.

Tech Stack:Java 21, Kubernetes/GitOps, Spring Boot, MFE Architecture, OpenAPI, PostgreSQL, Kafka, Redis

Team setup: 2 teams

Work Environment: flexible

As a qualified expert You will

Own delivery and engineering outcomes for DataTech teams

• Be accountable for delivery, velocity, quality, reliability and scalability


• Ensure work is aligned with DataTech priorities, using effective visualization and reporting to understand delivery, identify problems and drive improvements

Ensure strong SDLC execution and technical quality

• Ensure teams execute effectively across refinement, design, estimation, implementation, testing and deployment


• Identify execution gaps and work with SDE Leads to improve how delivery works


• Invest in improving a AI-enabled SDLC, including adoption and evolution of SDD frameworks and practices

Plan and manage capacity

• Own short- and long-term capacity and capability planning


• Allocate people in line with DataTech priorities and delivery commitments


• Surface capacity and delivery risks and drive mitigation

Own product quality, reliability and operations

• Be accountable for stability, reliability, performance and overall quality


• Ensure effective platform-wide customer support, incident management, observability and other operational processes


• Balance delivery with technical health and operational needs

Lead and grow engineers and SDE Leads

• Manage engineers and SDE Leads through coaching, feedback, growth and performance management


• Build and evolve teams through hiring, onboarding and shaping the right skill mix


• Maintain healthy team dynamics and address people issues early

Strengthen ways of working and collaboration

• Improve engineering practices where they help teams deliver more effectively


• Partner with Product, Data and other domains to align plans and manage dependencies


• Contribute to domain-level planning and cross-team collaboration

We’re looking for you if you have

• Proven engineering leadership experience managing multiple software/data engineering teams


• Strong track record of delivery, including improving planning, prioritization and execution


• Ability to use delivery data, visualization and reporting to identify problems and drive improvements


• Strong people-management skills: coaching, performance management and team development


• Strong technical judgment and ability to work with engineering leads to improve delivery practices, including effective use of GenAI and SDD


• Clear communication and collaboration skills with technical and non-technical stakeholders


• Ownership mindset: accountable for delivery as well as long-term quality and maintainability


• Excellent written and verbal communication skills in English

Bonus points

• Experience in DataTech-like domains (data ingestion, processing, curation).


• Familiarity with Stream-Aligned Teams / Team Topologies.


• Experience working with Architecture, Platform, SRE and other enabling teams.


• Experience improving observability, reliability and incident management for backend/data services.

What’s in it for You

Reveal great tech solutions

Join the team of experts who create custom, cutting-edge tech solutions for world-renowned businesses, fueling client growth. Unleash your potential, tackle new challenges, and be part of a team that values your skills and contributions. Focus on long-term impact and building tailored, long-lasting partnerships with our clients.

Experience an agile and flexible working environment

Enjoy the freedom of fully remote work with a flexible working schedule. Empower yourself with a stable workload and a stable income, supported by provided laptops and licensed software. We focus on lasting cooperation and unite result-oriented individuals who stand on a high-performance approach to work.

Embrace the opportunity for personal and professional growth

Benefit from performance and merit reviews, elevate your skills with personal development plans, and individual learnings through the corporate library, public speaking support, and more.

Be among like-minded people

Work with a team of one mind who cares about what they do and how they do. Collaborate with top-notch experts who are always ready to help and support you through any challenges. Join company-wide tech and cultural events, and contribute to meaningful CSR initiatives that resonate with your values. Feel supported by your HR, and take advantage of our referral bonus program.

Interview steps

• Pre-Screening with the recruiter


• Manager screening


• Tech Interview


• Architecture interview


• HRBP Interview


• Client Interview